Victor V. Dyakin

32 total papers · 686 total citations
20 papers, 538 citations indexed

About

Victor V. Dyakin is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Victor V. Dyakin has authored 20 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Biochemistry. Recurrent topics in Victor V. Dyakin's work include Amino Acid Enzymes and Metabolism (6 papers), Alzheimer's disease research and treatments (6 papers) and Protein Structure and Dynamics (5 papers). Victor V. Dyakin is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Alzheimer's disease research and treatments (6 papers) and Protein Structure and Dynamics (5 papers). Victor V. Dyakin collaborates with scholars based in United States, Germany and Canada. Victor V. Dyakin's co-authors include Ralph A. Nixon, Joseph A. Helpern, Oliver T. Wolf, Mony J. de Leon, Karen Bulloch, C. Vadász, Bruce S. McEwen, David N. Guilfoyle, Karen Duff and Phil Lee and has published in prestigious journals such as NeuroImage, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Victor V. Dyakin

20 papers receiving 534 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Victor V. Dyakin 180 177 150 138 73 20 538
Ayla Mansur 86 0.5× 145 0.8× 195 1.3× 169 1.2× 53 0.7× 18 576
J.B. Clark 165 0.9× 129 0.7× 215 1.4× 168 1.2× 65 0.9× 7 561
Taeko Inoue 57 0.3× 208 1.2× 95 0.6× 171 1.2× 65 0.9× 15 509
Rouslan Sitnikov 90 0.5× 109 0.6× 178 1.2× 85 0.6× 66 0.9× 21 608
Feng Gu 53 0.3× 105 0.6× 156 1.0× 208 1.5× 90 1.2× 26 480
Norihiko Iwamoto 53 0.3× 267 1.5× 173 1.2× 127 0.9× 132 1.8× 17 562
D.W.G. Cox 111 0.6× 80 0.5× 277 1.8× 401 2.9× 59 0.8× 25 601
Josiane Borredon 225 1.3× 133 0.8× 123 0.8× 193 1.4× 32 0.4× 15 596
Evan Baum 104 0.6× 119 0.7× 116 0.8× 202 1.5× 94 1.3× 8 450
Aisling M. Chaney 69 0.4× 180 1.0× 133 0.9× 68 0.5× 32 0.4× 22 584

Countries citing papers authored by Victor V. Dyakin

Since Specialization
Citations

This map shows the geographic impact of Victor V. Dyakin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Victor V. Dyakin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor V. Dyakin more than expected).

Fields of papers citing papers by Victor V. Dyakin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor V. Dyakin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Victor V. Dyakin. The network helps show where Victor V. Dyakin may publish in the future.

Co-authorship network of co-authors of Victor V. Dyakin

This figure shows the co-authorship network connecting the top 25 collaborators of Victor V. Dyakin. A scholar is included among the top collaborators of Victor V. Dyakin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victor V. Dyakin. Victor V. Dyakin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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